Abstract: Examples relate to near-field radar filters that can enhance measurements near a radar unit. An example may involve receiving a first set of radar reflection signals at a radar unit coupled to a vehicle and determining a filter configured to offset near-field effects of radar reflection signals received at the radar unit. In some instances, the filter depends on an azimuth angle and a distance for surfaces in the environment causing the first set of radar reflection signals. The example may also involve receiving, at the radar unit, a second set of radar reflection signals and determining, using the filter, an azimuth angle and a distance for surfaces in the environment causing the second set of radar reflection signals. The vehicle may be controlled based in part on the azimuth angle and the distance for the surfaces causing the second plurality of radar reflection signals.

Abstract: Aspects of the present disclosure relate switching between autonomous and manual driving modes. In order to do so, the vehicle's computer may conduct a series of environmental, system, and driver checks to identify certain conditions. The computer may correct some of these conditions and also provide a driver with a checklist of tasks for completion. Once the tasks have been completed and the conditions are changed, the computer may allow the driver to switch from the manual to the autonomous driving mode. The computer may also make a determination, under certain conditions, that it would be detrimental to the driver's safety or comfort to make a switch from the autonomous driving mode to the manual driving mode.

Abstract: Aspects of the subject matter disclosed herein include methods, systems, and other techniques for training, in a first phase, an object classifier neural network with a first set of training data, the first set of training data including a first plurality of training examples, each training example in the first set of training data being labeled with a coarse-object classification; and training, in a second phase after completion of the first phase, the object classifier neural network with a second set of training data, the second set of training data including a second plurality of training examples, each training example in the second set of training data being labeled with a fine-object classification.

Abstract: Aspects of the present disclosure relate generally to identifying and displaying traffic lanes that are available for autonomous driving. This information may be displayed to a driver of a vehicle having an autonomous driving mode, in order to inform the driver of where he or she can use the autonomous driving mode. In one example, the display may visually distinguishing between lanes that are available for auto-drive from those that are not. The display may also include an indicator of the position of a lane (autodrive or not) currently occupied by the vehicle. In addition, if that lane is an autodrive lane the display may include information indicating how much further the vehicle may continue in the autonomous driving mode in that particular lane. The display may also display information indicating the remaining autodrive distance in other lanes as well as the lane with the greatest remaining autodrive distance.

Abstract: Aspects of the disclosure relate to deployable structures, such as airbag systems, for vehicles. A system is disclosed for reducing likelihood of injury to a passenger in a collision. The system may include a seat configured to accommodate the passenger and an airbag system. At least a portion of the airbag system may be incorporated into a vehicle prior to deployment of the airbag system. The airbag system may include an airbag and a locking feature. The locking feature may be configured to lock the airbag with a locking portion of a vehicle when the airbag system has been deployed. The locking feature may be attached to the airbag. Aside from airbags, other confining structures, such as nets, shades, curtains, etc., may also be used as deployable structures.

Abstract: A device is provided that includes a first platform having a first side, and a second platform having a second side positioned within a predetermined distance to the first side. The device also includes an actuator configured to cause a relative rotation between the first platform and the second platform such that the first side of the first platform remains within the predetermined distance to the second side of the second platform. The device also includes a probe mounted to the first platform, and a plurality of probes mounted to the second platform. The device also includes a signal conditioner coupled to the plurality of probes. The signal conditioner may select one of the plurality of probes based on an orientation of the first platform relative to the second platform. The signal conditioner may then to use the selected probe for wireless communication with the probe on the first platform.

Abstract: Example embodiments present radar units capable of operating in multiple polarizations. An example radar unit may include a set of transmission antennas and a set of reception antennas. Particularly, the transmission antennas may each be configured to transmit radar signals that radiate in one or more of four potential polarizations. The four polarizations can correspond to horizontal linear, vertical linear and slanted polarizations at approximately positive forty-five degrees and negative forty-five degrees from the horizontal plane. As such, the reception antennas of the radar unit may each be configured to receive reflected radar signals that are radiating in one of the four potential polarizations. The radar unit may further include an amplifier configured to cause one or multiple transmission antennas to selectively transmit between two or more of the four polarization channels.

Abstract: A vehicle has a plurality of control apparatuses, a user input, a geographic position component, an object detection apparatus, memory, and a display. A processor is also included and is programmed to receive the destination information, identify a route, and determine the current geographic location of the vehicle. The processor is also programmed to identify an object and object type based on object information received from the object detection apparatus and to determine at least one warning characteristic of the identified object based on at least one of: the object type, a detected proximity of the detected object to the vehicle, the location of the detected object relative to predetermined peripheral areas of the vehicle, the current geographic location of the vehicle, and the route. The processor is also configured to select and display on the display an object warning image based on the at least one warning characteristic.

Abstract: Aspects of the disclosure provide for a method of calibrating a vehicle's plurality of detection systems. To calibrate a first detection system, orientation data is collected using the first detection device when the vehicle faces a first direction and a second direction opposite the first direction. To calibrate a second detection system, data is collected using the second detection device while the vehicle moves in a repeatable pattern near a first object. To calibrate a third detection system, light reflected off a second object is detected using the third detection system as the vehicle is moved towards the second object. To calibrate a fourth detection system, data collected using the second detection system and the fourth detection system is compared. To calibrate a fifth detection system, radar signals reflected off a third object is received using the fifth detection system while the vehicle moves relative to the third object.

Abstract: The disclosure relates to smart signs or physical markers for facilitating passenger trips for autonomous vehicles. For instance, a physical marker remote from the autonomous vehicles may receive a first notification indicating a request for a trip has been made via a client computing device. The physical marker may determine when the client computing device has reached a physical marker, and in response to the determination, the physical marker may send a second notification to a dispatching server computing device indicating that the client computing device has reached a physical marker. Other aspects of the disclosure relate to various features and uses for the physical marker.

Abstract: A method and apparatus is provided for controlling the operation of an autonomous vehicle. According to one aspect, the autonomous vehicle may track the trajectories of other vehicles on a road. Based on the other vehicle's trajectories, the autonomous vehicle may generate a pool of combined trajectories. Subsequently, the autonomous vehicle may select one of the combined trajectories as a representative trajectory. The representative trajectory may be used to change at least one of the speed or direction of the autonomous vehicle.

Abstract: A printed circuit board (PCB) includes a first plurality of conductive paths having first ends at an inner radius of the PCB and second ends at an outer radius of the PCB. The PCB further includes a second plurality of conductive paths having first ends at an outer radius of the PCB and second ends at an inner radius of the PCB. The PCB further includes a first plurality of conductive vias that pass through the PCB at the outer radius of the PCB and couple second ends of the first plurality of conductive paths to first ends of the second plurality of conductive paths. The PCB further includes a second plurality of conductive vias that pass through the PCB at the inner radius of the PCB and electrically couple second ends of the second plurality of conductive paths to first ends of the first plurality of conductive paths.

Abstract: Disclosed herein are methods and systems for determining a location of an object within an environment. An example method may include determining a three-dimensional (3D) location of a plurality of reference points in an environment, receiving a two-dimensional (2D) image of a portion of the environment that contains an object, selecting certain reference points from the plurality of reference points that form a polygon when projected into the 2D image that contains at least a portion of the object, determining an intersection point of a ray directed toward the object and a 3D polygon formed by the selected reference points, and based on the intersection point of the ray directed toward the object and the 3D polygon formed by the selected reference points, determining a 3D location of the object in the environment.

Abstract: The technology relates to determining general weather conditions affecting the roadway around a vehicle, and how such conditions may impact driving and route planning for the vehicle when operating in an autonomous mode. For instance, the on-board sensor system may detect whether the road is generally icy as opposed to a small ice patch on a specific portion of the road surface. The system may also evaluate specific driving actions taken by the vehicle and/or other nearby vehicles. Based on such information, the vehicle's control system is able to use the resultant information to select an appropriate braking level or braking strategy. As a result, the system can detect and respond to different levels of adverse weather conditions. The on-board computer system may share road condition information with nearby vehicles and with remote assistance, so that it may be employed with broader fleet planning operations.

Abstract: Autonomous vehicles use various computing systems to transport passengers from one location to another. A control computer sends messages to the various systems of the vehicle in order to maneuver the vehicle safely to the destination. The control computer may display information on an electronic display in order to allow the passenger to understand what actions the vehicle may be taking in the immediate future. Various icons and images may be used to provide this information to the passenger.

Abstract: Described herein are methods and systems for protecting a light detection and ranging (LIDAR) device against external light that is originated at a light source other than a light source of the LIDAR device and that is being emitted towards the LIDAR device. In particular, the LIDAR device may be equipped with a mitigation system that includes an interference filter, an absorptive filter, an adaptive filter, and/or a spatial filter. Additionally or alternatively, the LIDAR device may be operated to carry out reactive and/or proactive mitigation operations. For example, the LIDAR device may be operated to vary over time characteristics with which light is being emitted and to only detect light having characteristics that match the characteristics with which light is being emitted. In another example, the LIDAR device may be operated to activate a shutter to block the external light from being detected by the LIDAR device.

Abstract: The present invention relates generally to dispatching transportation to a business location. More specifically, an autonomous vehicle may be dispatched to pick up a passenger and transport that passenger to the business location.

Abstract: The technology relates to actively looking for an assigned passenger prior to a vehicle 100 reaching a pickup location. For instance, information identifying the pickup location and client device information for authenticating the assigned passenger is received. Sensor data is received from a perception system (172) of the vehicle identifying objects in an environment of the vehicle. When the vehicle is within a predetermined distance (represented by distance bar 772) from the pickup location (represented by marker 770), authenticating a client device (420, 430) using the client device information is attempted. When the client device has been authenticated, the sensor data is used to determine whether a pedestrian (750, 752) is within a first threshold distance (D1) of the vehicle.

Abstract: An autonomous vehicle may access portions of a map to maneuver a roadway. The map may be split into one or more levels that represent different regions in space. For example, an overpass may be represented by one level while the road below the overpass may be on a separate level. A vehicle traveling on a particular level may use map data that is associated with that level. Furthermore, if the vehicle travels through a warp zone, it may transition from the current level to a destination level and thus begin to use map data associated with the destination level.

Abstract: Aspects of the technology relate to assisting a passenger in an autonomous vehicle without a driver. For instance, after a door of the vehicle is opened, a predetermined period of time may be waited by processors of computing devices of the vehicle. After waiting the predetermined period of time and when the vehicle's door remains open, a set of instructions for closing the vehicle's door may be played by the processors through a speaker of the vehicle. Once the door of the vehicle is closed, an announcement may be played by the processors through the speaker requesting that the passenger press a first button to initiate a ride to a destination. In response to the first button being pressed, the ride to the destination may be initiated by the processors by maneuvering the vehicle autonomously to the destination.